This page contains an outline of the topics, content, and assignments for the quarter. Note that this schedule will be updated as the quarter progresses, with all changes documented here.
1
Tue, 4/1
1: Introduction Syllabus & Intro to R Week 1 PA 1
Thu, 4/3
Intro to Quarto Lab 1
2
Tue, 4/8
2: Basics of Graphics Importing Data + Graphics with ggplot2 Week 2 PA 2
Thu, 4/10
More Graphics! Lab 2
3
Tue, 4/15
3: Data Cleaning + Manipulation Data Cleaning with dplyrWeek 3 PA 3
Thu, 4/17
Data Feminism: The Numbers Don’t Speak for Themselves Extending dplyr + Data Ethics Lab 3
4
Tue, 4/22
4: Data Joins + Transformations Data Joins + Pivots Week 4 PA 4
Thu, 4/24
Factor Variables Lab 4
5
Tue, 4/29
5: Special Data Types Strings Week 5 PA 5.1
Thu, 5/1
Dates PA 5.2 Lab 5
6
Tue, 5/6
6: Version Control Version Control PA 6
Thu, 5/8 Midterm Exam
7
Tue, 5/13
7: Writing Functions Functions Week 7 PA 7
Thu, 5/15
More Functions Lab 7
8
Tue, 5/20
8: Iteration and Simulation Iteration Week 8 PA 8.1
Thu, 5/22
Simulation + Tables PA 8.2 Lab 8
9
Tue, 5/27
NO
CLASS
ENJOY
THE
BREAK!
Thu, 5/29
9: Linear Regression Linear Regression Week 9 PA 9 Lab 9
10
Tue, 6/3
10: Model Validation + More Graphics Model Validation + Maps PA 10
Thu, 6/5
Wrap-Up